# New benchmark probes agentic AI for attack surfaces that static tests miss

RIFT-Bench dynamically red-teams autonomous agents built on large language models (LLMs), while a companion paper questions whether "agent" even has a coherent definition.

- Published: 2026-06-24T10:42:52.470Z
- Canonical: https://polylog.news/ai/2026-06-24/new-benchmark-probes-agentic-ai-for-attack-surfaces-that-sta
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv (RIFT-Bench)](https://arxiv.org/abs/2606.23927), [arXiv (Critique of Agent Model)](https://arxiv.org/abs/2606.23991)

A new arXiv paper introduces RIFT-Bench, a dynamic red-teaming framework for agentic AI systems. Its premise is that agents built on large language models have become autonomous decision-makers that expose attack vectors a bare model does n…

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